Investigation of Interfacial Property with Imperfection: A Machine Learning Approach
Description:
Interfacial mechanical properties of adhesive joints are very crucial in board applications, including composites, multilayer structures, and biomedical devices. Establishing traction-separation (T-S) relations for interfacial adhesion can evaluate mechanical and structural reliability, robustness, and failure criteria. Due to the short range of interfacial adhesion such as micro to nanoscale, accurate measurements of T-S relations remain challenging. The advent of machine learning (ML) became …
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Date:
July 2023
Creator:
Ferdousi, Sanjida
Partner:
UNT Libraries